Identification method of hemispherical and conical models based on discrete stationary wavelet transform

Abstract

The invention discloses an identification method of hemispherical and conical models based on discrete stationary wavelet transform. The method includes: firstly, obtaining point cloud data of a measured curved surface by employing a three-dimensional scanner; then obtaining an elevation image of the measured curved surface and elevation sequences of pixels of various rows and columns in the image by employing a gridding method; processing the obtained elevation sequences by employing discrete stationary wavelet transform to obtain corresponding wavelet detail coefficient sequences; further deducing an ideal mathematical expression of the measured curved surface according to corresponding relations between the elevation sequences and the wavelet detail coefficient sequences; calculating ideal elevation sequences of the measured curved surface and corresponding wavelet detail coefficients according to the estimated ideal mathematical expression; and finally analyzing wavelet detail coefficient sequences corresponding to the elevation sequences of actual measurement data and the wavelet detail coefficient sequences corresponding to the ideal mathematical expression of the measured curved surface to realize identification of a measured model.

Description

【Technical field】 [0001] The invention relates to the field of reverse engineering, in particular to an identification method for hemispherical and conical surface models based on discrete stationary wavelet transform, which is used for extracting geometric parameters of the identified model and determining the shape of the identified model. 【Background technique】 [0002] With the continuous development of the economy, the market scale continues to expand, and objects of various shapes emerge in an endless stream in the processing industry. Surface detection and identification play an important role in reverse engineering and processing industries. In the product design cycle, this technology is becoming more and more important. The external shape of most mechanical parts can be described by plane, conical surface, spherical surface, etc. Objects constructed from these curved surfaces widely exist in people's daily life. When producing and processing such objects, it is nec...

AI Technical Summary

Problems solved by technology

This method is not accurate for the depth information of the points on the object where the parallax cannot be determined, which affects the clustering results, which in turn affects the accuracy of the recognition results, and this method cannot be completed without the support of the feature database

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